| 000 | 03330nam a22004815i 4500 | ||
|---|---|---|---|
| 001 | 978-3-642-38300-7 | ||
| 003 | DE-He213 | ||
| 005 | 20140220082911.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 130802s2013 gw | s |||| 0|eng d | ||
| 020 |
_a9783642383007 _9978-3-642-38300-7 |
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| 024 | 7 |
_a10.1007/978-3-642-38300-7 _2doi |
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| 050 | 4 | _aQA276-280 | |
| 072 | 7 |
_aPBT _2bicssc |
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| 072 | 7 |
_aPD _2bicssc |
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| 072 | 7 |
_aMAT029000 _2bisacsh |
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| 082 | 0 | 4 |
_a519.5 _223 |
| 100 | 1 |
_aHolický, Milan. _eauthor. |
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| 245 | 1 | 0 |
_aIntroduction to Probability and Statistics for Engineers _h[electronic resource] / _cby Milan Holický. |
| 264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2013. |
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| 300 |
_aX, 181 p. 51 illus., 4 illus. in color. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 505 | 0 | _aForeword -- 1 Introduction -- 2.Basic Concepts of Probability -- 3.Evaluation of Statistical Data.- 4.Distributions of Random Variables -- 5.Selected Models of Discrete Variables -- 6.Selected Models of Continuous Variables -- 7.Functions of Random Variables -- 8.Estimations of the Population Parameters -- 9.Fractiles of Random Variables -- 10.Testing of Statistical Hypotheses -- 11.Correlation and Regression -- 12.Random Functions -- Appendixes. . | |
| 520 | _aThe theory of probability and mathematical statistics is becoming an indispensable discipline in many branches of science and engineering. This is caused by increasing significance of various uncertainties affecting performance of complex technological systems. Fundamental concepts and procedures used in analysis of these systems are often based on the theory of probability and mathematical statistics. The book sets out fundamental principles of the probability theory, supplemented by theoretical models of random variables, evaluation of experimental data, sampling theory, distribution updating and tests of statistical hypotheses. Basic concepts of Bayesian approach to probability and two-dimensional random variables, are also covered. Examples of reliability analysis and risk assessment of technological systems are used throughout the book to illustrate basic theoretical concepts and their applications. The primary audience for the book includes undergraduate and graduate students of science and engineering, scientific workers and engineers and specialists in the field of reliability analysis and risk assessment. Except basic knowledge of undergraduate mathematics no special prerequisite is required. | ||
| 650 | 0 | _aStatistics. | |
| 650 | 0 | _aDistribution (Probability theory). | |
| 650 | 0 | _aEngineering. | |
| 650 | 0 | _aEngineering design. | |
| 650 | 1 | 4 | _aStatistics. |
| 650 | 2 | 4 | _aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. |
| 650 | 2 | 4 | _aEngineering Design. |
| 650 | 2 | 4 | _aEngineering, general. |
| 650 | 2 | 4 | _aProbability Theory and Stochastic Processes. |
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer eBooks | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783642382994 |
| 856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-642-38300-7 |
| 912 | _aZDB-2-SMA | ||
| 999 |
_c98241 _d98241 |
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